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[2411.10896] Targeting Negative Flips in Active Learning ...
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由 R Benkert 著作2024 — In this paper, we discuss improving the performance of active learning algorithms both in terms of prediction accuracy and negative flips.
Targeting Negative Flips in Active Learning using ...
ResearchGate
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2024年11月21日 — In this paper, we discuss improving the performance of active learning algorithms both in terms of prediction accuracy and negative flips. The ...
Targeting Negative Flips in Active Learning using ...
arXiv
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2024年11月16日 — We show that integrating a validation set results in a significant performance boost in terms of accuracy, negative flip rate reduction, or both ...
[IEEE BigData’24 Best Paper Runner-up] Targeting Negative ...
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Targeting Negative Flips in Active Learning using ...
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2024年11月18日 — The researchers developed new ways to pick training samples that help prevent these negative changes while still teaching the model new things.
Targeting Negative Flips in Active Learning using Validation ...
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2024年11月16日 — 负面翻转是指那些使用前一轮/较小的数据集训练时能正确预测但在标记了额外样本后却错误预测的样本。本文讨论的是如何在提高预测准确性和减少负面翻转两个 ...
Ryan Benkert
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In this paper, we discuss improving the performance of active learning algorithms both in terms of prediction accuracy and negative flips. Active Learning ...
Ryan Benkert
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Targeting Negative Flips in Active Learning using Validation Sets. R Benkert, M Prabhushankar, G AlRegib. arXiv preprint arXiv:2411.10896, 2024. 2024. Neural ...
Ghassan AlRegib's Post
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2024年12月15日 — Our award-winning paper, coauthored by Ryan Benkert, Mohit Prabhushankar, and myself, is titled 'Targeting Negative Flips in Active Learning using Validation ...
Active Learning
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In this paper, we discuss improving the performance of active learning algorithms both in terms of prediction accuracy and negative flips.